tbuckley/cabot-search huggingface dataset:
Comprehensive analysis of neoantigens derived from structural variation across whole genomes from 2528 tumors
Authors: Yang Shi, Biyang Jing, Ruibin Xi
Journal: Genome biology (2023)

Neoantigens are critical for anti-tumor immunity and have been long-envisioned as promising therapeutic targets. However, current neoantigen analyses mostly focus on single nucleotide variations (SNVs) and indel mutations and seldom consider structural variations (SVs) that are also prevalent in cancer.Here, we develop a computational method termed NeoSV, which incorporates SV annotation, protein fragmentation, and MHC binding prediction together, to predict SV-derived neoantigens. Analysis of 2528 whole genomes reveals that SVs significantly contribute to the neoantigen repertoire in both quantity and quality. Whereas most neoantigens are patient-specific, shared neoantigens are identified with high occurrence rates in breast, ovarian, and gastrointestinal cancers. We observe extensive immunoediting on SV-derived neoantigens, especially on clonal events, which suggests their immunogenic potential. We also demonstrate that genomic alteration-related neoantigen burden, which integrates SV-derived neoantigens, depicts the tumor-immune interplay better than tumor neoantigen burden and may improve patient selection for immunotherapy.Our study fills the gap in the current neoantigen repertoire and provides a valuable resource for cancer vaccine development.
Identifying and quantifying isoforms from accurate full-length transcriptome sequencing reads with Mandalorion
Authors: Roger Volden, Kayla D. Schimke, Ashley Byrne, Danilo Dubocanin, Matthew Adams, Christopher Vollmers
Journal: Genome biology (2023)

In this manuscript, we introduce and benchmark Mandalorion v4.1 for the identification and quantification of full-length transcriptome sequencing reads. It further improves upon the already strong performance of Mandalorion v3.6 used in the LRGASP consortium challenge. By processing real and simulated data, we show three main features of Mandalorion: first, Mandalorion-based isoform identification has very high precision and maintains high recall even in the absence of any genome annotation. Second, isoform read counts as quantified by Mandalorion show a high correlation with simulated read counts. Third, isoforms identified by Mandalorion closely reflect the full-length transcriptome sequencing data sets they are based on.
Allergic bronchopulmonary aspergillosis with atopic, nonatopic, and sans asthma—Factor analysis
Authors: Naoki Okada, Yoshiro Yamamoto, Tsuyoshi Oguma, Jun Tanaka, Katsuyoshi Tomomatsu, Yoshiki Shiraishi, Hiroto Matsuse, Terufumi Shimoda, Hirokazu Kimura, Kentaro Watai, Toshiyuki Harada, Yuka Fujita, Yasushi Obase, Maho Suzukawa, Junko Suzuki, Noboru Takayanagi, Takashi Ishiguro, Katsunori Masaki, Koichi Fukunaga, Koichiro Asano
Journal: Allergy (2023)

Abstract Background Allergic bronchopulmonary aspergillosis (ABPA) develops in the presence or absence of asthma, either atopic or nonatopic. We have tried to explore the essential components in the pathogenesis of the disease, which are either consistent and variable according to the presence and type of asthma. Methods Non‐cystic fibrosis ABPA cases satisfying Asano's criteria were extracted from a prospective registry of ABPA and related diseases in Japan between 2013 and 2023. According to the type of preceding asthma, ABPA was classified into three groups: ABPA sans asthma (no preceding asthma), ABPA with atopic asthma, and ABPA with nonatopic asthma. Exploratory and confirmatory factor analyses were performed to identify the components that determined the clinical characteristics of ABPA. Results Among 106 cases of ABPA, 25 patients (24%) had ABPA sans asthma, whereas 57 (54%) and 24 (23%) had ABPA with atopic and nonatopic asthma, respectively. Factor analysis identified three components: allergic, eosinophilic, and fungal. Patients with atopic asthma showed the highest scores for the allergic component ( p &lt; .001), defined by total and allergen‐specific IgE titers and lung opacities, and the lowest scores for the fungal component defined by the presence of specific precipitin/IgG or positive culture for A. fumigatus . Eosinophilic components, including peripheral blood eosinophil counts and presence of mucus plugs/high attenuation mucus in the bronchi, were consistent among the three groups. Conclusion The eosinophilic component of ABPA is considered as the cardinal feature of ABPA regardless of the presence of preceding asthma or atopic predisposition.
Synergistic Amplification of Ferroptosis with Liposomal Oxidation Catalyst and Gpx4 Inhibitor for Enhanced Cancer Therapy
Authors: Ye Yuan, Chunyu Tian, Qi Wang, Xinyu Qiu, Yufang Wang, Hulin Jiang, Jifu Hao, Yujing He
Journal: Advanced Healthcare Materials (2023)

As a distinctly different way from apoptosis, ferroptosis can cause cell death through excessive accumulation of lipid peroxide (LPO) and show great potential for cancer therapy. However, efficient strategies for ferroptosis therapy are still facing great challenges, mainly due to insufficient endogenous H2 O2 or relatively high pH value for Fenton reaction-dependent ferroptosis, and the high redox level of tumor cells attenuates the oxidation therapy. Herein, an efficient lipid-based delivery system to load oxidation catalyst and glutathione peroxidase 4 (Gpx4) inhibitor is orchestrated, intending to amplify Fenton reaction-independent ferroptosis by bidirectional regulation of LPO accumulation. Ferric ammonium citrate (FAC), Gpx4 inhibitor sorafenib (SF), and unsaturated lipids are constructed into mPEG2K -DSPE-modified liposomes (Lip@SF&FAC). Influenced by the high level of intratumoral glutathione, FAC can be converted into Fe2+ , and subsequently the formed iron redox pair (Fe2+ /Fe3+ ) catalyzes unsaturated phospholipids of liposomes into LPO via a Fenton reaction-independent manner. Meanwhile, SF can downregulate LPO reduction by inhibiting Gpx4 activation. In vitro and in vivo antitumor experiments show that Lip@SF&FAC induces massive LPO accumulation in tumor cells and ultimately exhibits strong tumor-killing ability with negligible side effect. Consequently, this two-pronged approach provides a new ferroptosis strategy for predominant LPO accumulation and enhanced cancer therapy.
Association Between Diabetes Technology Use and Glycemic Outcomes in Adults With Type 1 Diabetes Over a Decade
Authors: Kagan E. Karakus, Halis K. Akturk, G. Todd Alonso, Janet K. Snell-Bergeon, Viral N. Shah
Journal: Diabetes Care (2023)

OBJECTIVE To evaluate change in mean clinic HbA1c from 2014 to 2021 with diabetes technology use in adults with type 1 diabetes. RESEARCH DESIGN AND METHODS In this single-center study, we analyzed diabetes technology use and mean clinic HbA1c among unique adults (age ≥18 years) with type 1 diabetes (last visit of the year per patient) between 1 January 2014 and 31 December 2021 from the electronic medical record. Diabetes technology use was defined as the use of continuous glucose monitors (CGMs) without an automated insulin delivery (AID) system or an AID system. Diabetes technology use and HbA1c over time were analyzed using mixed models adjusted for age, sex, and visit year. RESULTS A total of 15,903 clinic visits over 8 years (mean 1,988 patients per year, 4,174 unique patients, 52.7% female, 80.0% Non-Hispanic White) showed significant increases in CGM and AID use (P &amp;lt; 0.001 for both), resulting in an increase of diabetes technology use from 26.9% in 2014 to 82.7% in 2021. These increases were associated with a lower mean clinic HbA1c (7.7–7.5%, P &amp;lt; 0.001) and a higher percentage of adults achieving an HbA1c &amp;lt;7.0% (32.3–41.7%, P &amp;lt; 0.001) from 2014 to 2021. The HbA1c difference between technology users and nonusers increased over time from 0.36% (95% CI 0.26–0.47%, P &amp;lt; 0.001) in 2014 to 0.93% (95% CI 0.80–1.06%, P &amp;lt; 0.001) in 2021. CONCLUSIONS Adopting diabetes technology in adults with type 1 diabetes decreased HbA1c and increased the number of people achieving an HbA1c &amp;lt;7.0%, supporting the current international recommendation to offer AID systems to most individuals with type 1 diabetes.
Donanemab for Alzheimer Disease—Who Benefits and Who Is Harmed?
Authors: Jennifer J. Manly, Kacie D. Deters
Journal: JAMA (2023)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA HomeNew OnlineCurrent IssueFor Authors Journals JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) Podcasts Clinical Reviews Editors' Summary Medical News Author Interviews More JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2024 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA journal
First-Line Genomic Profiling in Previously Untreated Advanced Solid Tumors for Identification of Targeted Therapy Opportunities
Authors: Junichi Matsubara, Kumi Mukai, Tomohiro Kondo, Masahiro Yoshioka, Hidenori Kage, Katsutoshi Oda, Ryo Kudo, Sadakatsu Ikeda, Hiromichi Ebi, Kei Muro, Ryuji Hayashi, Nahomi Tokudome, Nobuyuki Yamamoto, Manabu Muto
Journal: JAMA Network Open (2023)

IMPORTANCE Precision oncology using comprehensive genomic profiling (CGP) by next-generation sequencing is aimed at companion diagnosis and genomic profiling. The clinical utility of CGP before the standard of care (SOC) is still not resolved, and more evidence is needed. OBJECTIVE To investigate the clinical utility of next-generation CGP (FoundationOne CDx [F1CDx]) in patients with previously untreated metastatic or recurrent solid tumors. DESIGN, Setting, and Participants This multicenter, prospective, observational cohort study enrolled patients with previously untreated advanced solid tumors between May 18, 2021, and February 16, 2022, with follow-up through August 16, 2022. The study was conducted at 6 hospitals in Japan. Eligible patients were aged 20 years or older and had Eastern Cooperative Oncology Group performance status of 0 to 1 with previously untreated metastatic or recurrent cancers in the gastrointestinal or biliary tract; pancreas, lung, breast, uterus, or ovary; and malignant melanoma. EXPOSURE Comprehensive genomic profiling testing before SOC for advanced solid tumors. MAIN OUTCOMES AND MEASURES Proportion of patients with actionable or druggable genomic alterations and molecular-based recommended therapy (MBRT). RESULTS A total of 183 patients met the inclusion criteria and 180 patients (92 men [51.1%]) with a median age of 64 years (range, 23-88 years) subsequently underwent CGP (lung [n = 28], colon/small intestine [n = 27], pancreas [n = 27], breast [n = 25], biliary tract [n = 20], gastric [n = 19], uterus [n = 12], esophagus [n = 10], ovary [n = 6], and skin melanoma [n = 6]). Data from 172 patients were available for end point analyses. Actionable alterations were found in 172 patients (100.0%; 95% CI, 97.9%-100.0%) and druggable alternations were identified in 109 patients (63.4%; 95% CI, 55.7%-70.6%). The molecular tumor board identified MBRT for 105 patients (61.0%; 95% CI, 53.3%-68.4%). Genomic alterations included in the companion diagnostics list of the CGP test were found in 49 patients (28.5%; 95% CI, 21.9%-35.9%) in a tumor-agnostic setting. After a median follow-up of 7.9 months (range, 0.5-13.2 months), 34 patients (19.8%; 95% CI, 14.1%-26.5%) received MBRT. CONCLUSIONS AND RELEVANCE The findings of this study suggest that CGP testing before SOC for patients with advanced solid tumors may be clinically beneficial to guide the subsequent anticancer therapies, including molecularly matched treatments.
Preoperative Medical Consultation—Questioning a Long-Standing Practice—In Reply
Authors: Weiwei Beckerleg, Daniel I. McIsaac
Journal: JAMA Internal Medicine (2023)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Internal Medicine HomeNew OnlineCurrent IssueFor Authors Podcast Journals JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA Internal Medicine journal
Characterizing Racial Disparities in Emergency Department Pediatric Physical Restraint by Sex and Age
Authors: Destiny G. Tolliver, Molly A. Markowitz, Kristen E. Obiakor, Ambrose H. Wong, Laura D. Cramer, Leah Robinson, Katherine A. Nash
Journal: JAMA Pediatrics (2023)

This cross-sectional study evaluates racial disparities in physical restraint use in US emergency departments.
Cognitive Function and Heading Frequency Among Retired Professional Soccer Players—Heading for Clarity?
Authors: Peter Ueda
Journal: JAMA Network Open (2023)

Shima Espahbodi, PhD; Eef Hogervorst, PhD; Tara-Mei Povall Macnab, BSc; Ahmed Thanoon, MSc; Gwen Sacha Fernandes, PhD; Bonnie Millar, PhD; Ashley Duncan, MSc; Maria Goodwin, MSc; Mark Batt, MBBChir; Colin W. Fuller, PhD; Gordon Fuller, PhD; Eamonn Ferguson, PhD; Tobias Bast, MD; Michael Doherty, PhD; Weiya Zhang, PhD
Chatbot vs Medical Student Performance on Free-Response Clinical Reasoning Examinations
Authors: Eric Strong, Alicia DiGiammarino, Yingjie Weng, Andre Kumar, Poonam Hosamani, Jason Hom, Jonathan H. Chen
Journal: JAMA Internal Medicine (2023)

This study compares performance on free-response clinical reasoning examinations of first- and second-year medical students vs 2 models of a popular chatbot.
Just-in-Time Digital Health Interventions—Start of a New Era With Much More to Do
Authors: Raman Khanna, Andrew Auerbach
Journal: JAMA Internal Medicine (2023)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Internal Medicine HomeNew OnlineCurrent IssueFor Authors Podcast Journals JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2024 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA Internal Medicine journal
Association Between Self-Reported Health and Reliance on Veterans Affairs for Health Care Among Veterans Affairs Enrollees
Authors: Liam Rose, Anna Schmidt, Elizabeth Gehlert, Laura A. Graham, Marion Aouad, Todd H. Wagner
Journal: JAMA Network Open (2023)

This cross-sectional study using survey data investigates the association between level of reliance on the Department of Veterans Affairs for health care and self-reported health by type of insurance coverage among VA enrollees.
Comparison of History of Present Illness Summaries Generated by a Chatbot and Senior Internal Medicine Residents
Authors: Ashwin Nayak, Matthew S. Alkaitis, Kristen Nayak, Margaret Nikolov, Kevin P. Weinfurt, Kevin Schulman
Journal: JAMA Internal Medicine (2023)

This prognostic study assesses the ability of a chatbot to write a history of present illness compared with senior internal medicine residents.
The FIRST-Dx Study Takes Steps Toward Personalized Cancer Therapy
Authors: J.-Matthias Löhr
Journal: JAMA Network Open (2023)

Junichi Matsubara, MD, PhD; Kumi Mukai, BS; Tomohiro Kondo, MD; Masahiro Yoshioka, MD, PhD; Hidenori Kage, MD, PhD; Katsutoshi Oda, MD, PhD; Ryo Kudo, MD; Sadakatsu Ikeda, MD, PhD; Hiromichi Ebi, MD, PhD; Kei Muro, MD, PhD; Ryuji Hayashi, MD, PhD; Nahomi Tokudome, MD, PhD; Nobuyuki Yamamoto, MD, PhD; Manabu Muto, MD, PhD
Preoperative Medical Consultation—Questioning a Long-Standing Practice
Authors: Nirvik Pal, Mark Nelson, John Butterworth
Journal: JAMA Internal Medicine (2023)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Internal Medicine HomeNew OnlineCurrent IssueFor Authors Podcast Journals JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA Internal Medicine journal
Call for Papers on Artificial Intelligence Applied to Pediatric Care
Authors: Aaron E. Carroll, Dimitri A. Christakis
Journal: JAMA Pediatrics (2023)

Artificial intelligence (AI) has long been discussed as a transformative tool in health care, promising to revolutionize all aspects of patient care and even our broader health care systems.Nowhere is this potential more profound than in the realm of pediatrics, where early detection and intervention can significantly impact life trajectories.AI is evolving rapidly, with potential to transform health care diagnosis and treatment for children and adolescents. 1It can improve outcomes while making many facets of the health care ecosystem more efficient. 2It can also assist with imaging analysis, research, documentation, workflow efficiency, and more. 3n recent years, we have witnessed AI transition from a theoretical promise to a practical tool.Machine learning algorithms have been used in diagnosing skin cancer with comparable accuracy to dermatologists.AI's predictive modeling capabilities have been tapped into to forecast patient readmission rates, 4 disease progression, and even to anticipate epidemic outbreaks. 5Deep learning techniques are enhancing the interpretation of medical imaging, and natural language processing is streamlining the review and analysis of electronic health records.However, many challenges and ethical issues also exist that need to be addressed when applying AI to the care of pediatric populations. 6These include ensuring the quality, validity, safety, and fairness of AI systems; protecting the privacy, security, and consent of patients and health care professionals; balancing the human and machine roles and responsibilities; and evaluating the impact of AI on health care costs, access, equity, and outcomes. 7As AI systems are only as good as the inputs they rely on, there is the potential that they could increase rather than decrease disparities.JAMA Pediatrics now invites submissions of original research articles on the topic of AI applied to pediatric health.We are interested in high-quality studies and viewpoints that explore the benefits, risks, limitations, and implications of AI for pediatric care across various settings and domains.
Centers for Disease Control and Prevention Guideline for Prescribing Opioids, 2022—Need for Integrating Dosing Benchmarks With Shared Decision-Making
Authors: Mark D. Sullivan, Jeffrey A. Linder, Jason N. Doctor
Journal: JAMA Internal Medicine (2023)

This viewpoint evaluates the CDC’s 2022 clinical practice guideline for prescribing opioids and suggests a model for supplemented shared decision-making between patients and clinicians about long-term opioid therapy.
Ushering in a New Era of Alzheimer Disease Therapy
Authors: Eric W. Widera, Sharon A. Brangman, Nathaniel A. Chin
Journal: JAMA (2023)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA HomeNew OnlineCurrent IssueFor Authors Journals JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) Podcasts Clinical Reviews Editors' Summary Medical News Author Interviews More JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA journal
Performance of a Large Language Model on Practice Questions for the Neonatal Board Examination
Authors: Kristyn Beam, Puneet Sharma, Bhawesh Kumar, Cindy Wang, Dara Brodsky, Camilia R. Martin, Andrew Beam
Journal: JAMA Pediatrics (2023)

This Diagnostic/Prognostic Study evaluates the performance of a large language model in generating answers to practice questions for the neonatal-perinatal board examination.
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Authors: Krishnamurthy Dvijotham, Jim Winkens, Melih Barsbey, Sumedh Ghaisas, Robert Stanforth, Nick Pawlowski, Patricia Strachan, Zahra Ahmed, Shekoofeh Azizi, Yoram Bachrach, Laura Culp, Mayank Daswani, Jan Freyberg, Christopher Kelly, Atilla Kiraly, Timo Kohlberger, Scott McKinney, Basil Mustafa, Vivek Natarajan, Krzysztof Geras, Jan Witowski, Zhi Zhen Qin, Jacob Creswell, Shravya Shetty, Marcin Sieniek, Terry Spitz, Greg Corrado, Pushmeet Kohli, Taylan Cemgil, Alan Karthikesalingam
Journal: Nature Medicine (2023)